Rolling bearing fault diagnosis: A data-based method using EEMD, information entropy and one-versus-one SVM

2016 12th World Congress on Intelligent Control and Automation (WCICA) ◽

10.1109/wcica.2016.7578388 ◽

2016 ◽

Author(s):

Wei-Li Qin ◽

Wen-Jin Zhang ◽

Chen Lu

Keyword(s):

Fault Diagnosis ◽

Information Entropy ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Fusion information entropy method of rolling bearing fault diagnosis based on n-dimensional characteristic parameter distance

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2016.11.019 ◽

2017 ◽

Vol 88 ◽

pp. 123-136 ◽

Author(s):

Yan-Ting Ai ◽

Jiao-Yue Guan ◽

Cheng-Wei Fei ◽

Jing Tian ◽

Feng-Ling Zhang

Keyword(s):

Fault Diagnosis ◽

Information Entropy ◽

Characteristic Parameter ◽

Rolling Bearing ◽

Entropy Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Dimensional Characteristic

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Rolling Bearing Fault Diagnosis via ConceFT-Based Time-Frequency Reconfiguration Order Spectrum Analysis

IEEE Access ◽

10.1109/access.2018.2877711 ◽

2018 ◽

Vol 6 ◽

pp. 67131-67143 ◽

Author(s):

Dongdong Liu ◽

Weidong Cheng ◽

Weigang Wen

Keyword(s):

Fault Diagnosis ◽

Spectrum Analysis ◽

Rolling Bearing ◽

Time Frequency ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

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Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals

ISA Transactions ◽

10.1016/j.isatra.2020.12.054 ◽

2021 ◽

Author(s):

Zhenya Wang ◽

Ligang Yao ◽

Gang Chen ◽

Jiaxin Ding

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Permutation Entropy ◽

Support Vector ◽

Complex Signals ◽

Machine Method ◽

Support Vector Machine Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling Bearing Fault Diagnosis using Transient-extracting Transform and Linear Discriminant Analysis

Measurement ◽

10.1016/j.measurement.2021.109298 ◽

2021 ◽

pp. 109298

Author(s):

Yuguo Zhou ◽

Shaoting Yan ◽

Yanbo Ren ◽

Shiliang Liu

Keyword(s):

Fault Diagnosis ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Rolling Bearing ◽

Linear Discriminant ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling bearing fault diagnosis method based on VMD and LSSVM

Journal of Physics Conference Series ◽

10.1088/1742-6596/1792/1/012035 ◽

2021 ◽

Vol 1792 (1) ◽

pp. 012035

Author(s):

Xingtong Zhu ◽

Zhiling Huang ◽

Jinfeng Chen ◽

Junhao Lu

Keyword(s):

Fault Diagnosis ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Diagnosis Method

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Rolling Bearing Fault Diagnosis Method Based on Improved Deep Belief Network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1820/1/012105 ◽

2021 ◽

Vol 1820 (1) ◽

pp. 012105

Author(s):

Bingbing Hu ◽

Jiahui Tang ◽

Jimei Wu ◽

Jie Liu

Keyword(s):

Fault Diagnosis ◽

Rolling Bearing ◽

Deep Belief Network ◽

Belief Network ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Diagnosis Method

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A Novel Rolling Bearing Fault Diagnosis Method Based on Adaptive Feature Selection and Clustering

IEEE Access ◽

10.1109/access.2021.3096723 ◽

2021 ◽

pp. 1-1

Author(s):

Jingbao Hou ◽

Yunxin Wu ◽

A. S. Ahmad ◽

Hai Gong ◽

Lei Liu

Keyword(s):

Feature Selection ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Adaptive Feature Selection ◽

Diagnosis Method

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Rolling Bearing Fault Diagnosis Based on Horizontal Visibility Graph and Graph Neural Networks

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) ◽

10.1109/icsmd50554.2020.9261687 ◽

2020 ◽

Author(s):

Chenyang Li ◽

Lingfei Mo ◽

Ruqiang Yan

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Visibility Graph ◽

Horizontal Visibility ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Graph Neural Networks ◽

Horizontal Visibility Graph

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Few-shot Learning for Rolling Bearing Fault Diagnosis Via Siamese Two-dimensional Convolutional Neural Network

2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan) ◽

10.1109/phm-jinan48558.2020.00073 ◽

2020 ◽

Author(s):

Yizhuo Yang ◽

Huan Wang ◽

Zhiliang Liu ◽

Zeyu Yang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Convolutional Neural Network ◽

Rolling Bearing ◽

Two Dimensional ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation

Measurement ◽

10.1016/j.measurement.2021.109885 ◽

2021 ◽

pp. 109885

Author(s):

Ruxue Bai ◽

Quansheng Xu ◽

Zong Meng ◽

Lixiao Cao ◽

Kangshuo Xing ◽

...

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Data Augmentation ◽

Rolling Bearing ◽

Convolution Neural Network ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Multi Scale ◽

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